Design of a multi-classifier system for discriminating benign from malignant thyroid nodules using routinely H&E-stained cytological images

 
This item is provided by the institution :
Technological Educational Institute of Athens
Repository :
Ypatia - Institutional Repository
see the original item page
in the repository's web site and access all digital files if the item*
share




2008 (EN)
Design of a multi-classifier system for discriminating benign from malignant thyroid nodules using routinely H&E-stained cytological images (EN)

Δασκαλάκης, Αντώνης (EL)
Σπυρίδωνος, Παναγιώτα Π. (EL)
Γκλώτσος, Δημήτριος (EL)
Κωστόπουλος, Σπυρίδων (EL)
Ραβαζούλα, Παναγιώτα (EL)

Νικηφορίδης, Γεώργιος Σ. (EL)
Τ.Ε.Ι. Αθήνας. Σχολή Τεχνολογικών Εφαρμογών. Τμήμα Μηχανικών Βιοϊατρικής Τεχνολογίας Τ.Ε. (EL)
Κάβουρας, Διονύσης Α. (EL)
Καρδάρη, Μαρία (EL)
Καλατζής, Ιωάννης (EL)

A multi-classifier diagnostic system was designed for distinguishing between benign and malignant thyroid nodules from routinely taken (FNA, H&E-stained) cytological images. To construct the multi-classifier system, several combination rules and different mixtures of ensemble classifier members, employing morphological and textural nuclear features, were comparatively evaluated. Experimental results illustrated that the classifier combination k-NN/PNN/Bayesian and the majority vote rule enhanced significantly classification accuracy (95.7%) as compared to best single classifier (PNN: 89.6%). The proposed system was designed with purpose to be utilized in daily clinical practice as a second opinion tool to support cytopathologists’ decisions, when a definite diagnosis is difficult to be obtained. (EN)

journalArticle

Multi-classifier systems (EN)
Cytological images (EN)
Συστήματα πολλαπλών ταξινομητών (EN)
Κυτταρολογικές εικόνες (EN)

ΤΕΙ Αθήνας (EL)
Technological Educational Institute of Athens (EN)

Computers in Biology and Medicine (EN)

English

2008

doi:10.1016/j.compbiomed.2007.09.005

Elsevier B.V. (EN)



*Institutions are responsible for keeping their URLs functional (digital file, item page in repository site)